Hands On Projects and Problem Solving Questions

Discussion of practical projects and side work you have built or contributed to across domains. Candidates should be prepared to explain their role, architecture and design decisions, services and libraries chosen, alternatives considered, trade offs made, challenges encountered, debugging and troubleshooting approaches, performance optimization, testing strategies, and lessons learned. This includes independent side projects, security labs and capture the flag practice, bug bounty work, coursework projects, and other hands on exercises. Interviewers may probe for how you identified requirements, prioritized tasks, collaborated with others, measured impact, and what you would do differently in hindsight.

MediumTechnical

0 practiced

In a bug-bounty or CTF exercise, pick one vulnerability you discovered and detail your methodology: reconnaissance, exploitation steps, tools used (Burp, nmap, sqlmap, etc.), proof-of-concept, responsible disclosure steps, and how the remediation was tested or validated on the affected system.

HardSystem Design

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Design a developer toolchain that automates code quality checks: pre-commit hooks for fast feedback, lightweight local linters, server-side SAST and linters in CI, automatic PR review bots, test coverage gating, and the architecture to keep checks fast, low-friction, and with minimal false positives.

HardTechnical

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A distributed API aggregates responses from multiple microservices and suffers high tail latency (p99). Propose architectural and runtime strategies to reduce tail latency: hedging/speculative retries, parallelization, timeouts and fallbacks, request prioritization and batching, and approaches to measure and validate tail improvements.

EasyTechnical

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Explain the differences between unit, integration, and end-to-end (E2E) tests. For a recent project, map which layers or components had each test type, why you chose that coverage, and any trade-offs you accepted between speed and confidence.

HardTechnical

0 practiced

Explain a robust approach to detect and prevent performance regressions introduced by code changes. Cover pre-merge performance testing, baselining, statistical significance checks, storing historical benchmarks, alerting on regressions, and how to keep perf checks fast and reliable in CI.

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